DocumentCode
1597107
Title
A pulse-coupled-multilayer perceptron hybrid neural network for condition monitoring
Author
Rughooputh, Harry C S ; Rughooputh, Soonil D.
Author_Institution
Mauritius Univ., Reduit, Mauritius
Volume
2
fYear
1999
fDate
6/21/1905 12:00:00 AM
Firstpage
749
Abstract
Studies of the visual cortex of cats highlight the role of temporal processing using synchronous oscillations for object identification. In this paper, a modified Eckhorn pulse coupled neural network model, the Computer-Model Cortex Neural Network, is used as a preprocessor to a neural network classifier for the condition monitoring of power transformers
Keywords
computerised monitoring; condition monitoring; multilayer perceptrons; power engineering computing; power transformers; Computer-Model Cortex Neural Network; condition monitoring; modified Eckhorn pulse coupled neural network model; neural network classifier preprocessor; power transformers; pulse-coupled-multilayer perceptron hybrid neural network; Artificial neural networks; Brain modeling; Condition monitoring; Fires; Neural networks; Neurons; Oil insulation; Power system modeling; Power transformers; Transfer functions;
fLanguage
English
Publisher
ieee
Conference_Titel
Africon, 1999 IEEE
Conference_Location
Cape Town
Print_ISBN
0-7803-5546-6
Type
conf
DOI
10.1109/AFRCON.1999.821861
Filename
821861
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